IEEE

Deep Convolutional and LSTM Recurrent Neural Networks for Rolling Bearing Fault Diagnosis Under Strong Noises and Variable Loads

Abstract: To research the problems of the rolling bearing fault diagnosis under different noises and loads, a dual-input model based on a convolutional neural network (CNN) and long-short term memory ...
IEEE

Assignment of Responsibility for Short-Duration Voltage Variation via QGIS, OpenDSS and Python

Abstract: One of the phenomena that most impacts the quality of electricity supply is the Short-Duration Voltage Variation (SDVV), which are phenomena manifested as voltage sag, swell, or even ...